Dr. Farah Deeba, Ph.D.
Dr. Farah Deeba, Ph.D.
Assistant Professor
Electrical & Computer Engineering
Education and Training:
- Ph.D., The University of British Columbia, Vancouver, Canada, 2022
- M.Sc., University of Saskatchewan, Saskatchewan, Canada, 2016
- B.Sc., Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, 2013
Research Areas:
- Medical Imaging
- Placenta Tissue Imaging and Characterization
- Quantitative Ultrasound
- Signal Processing
- Machine Learning
Selected Publications:
- Deeba, F., Schneider, C., Mohammed, S., Honarvar, M., Lobo, J., Tam, E., Salcudean, S. and Rohling, R., 2021. A multiparametric volumetric quantitative ultrasound imaging technique for soft tissue characterization. Medical Image Analysis, 74, p.102245.
- Deeba, F., Hu, R., Lessoway, V., Terry, J., Pugash, D., Mayer, C., Hutcheon, J., Salcudean, S. and Rohling, R., 2022. Project SWAVE 2.0: An overview of the study design for multimodal placental image acquisition and alignment. MethodsX, p.101738.
- Deeba, F. and Rohling, R., 2019, October. PredictUS: A Method to Extend the Resolution-Precision Trade-Off in Quantitative Ultrasound Image Reconstruction. In International Workshop on Machine Learning for Medical Image Reconstruction (pp. 255-264). Springer, Cham.
- Deeba, F., Ma, M., Pesteie, M., Terry, J., Pugash, D., Hutcheon, J.A., Mayer, C., Salcudean, S. and Rohling, R., 2019. Attenuation coefficient estimation of normal placentas. Ultrasound in medicine & biology, 45(5), pp.1081-1093.